Bioguided Fractionation of Phyllanthus spp.: Unveiling Anticancer Potential through Metabolomic Correlation and ADMETox Insights.
Maria Francilene Souza SilvaLorena Mara Alexandre SilvaAmanda L QuintelaFrancisca Aliny N SilvaFátima de Cássia E De OliveiraMaria Claudia Dos Santos LucianoTigressa Helena S RodriguesElenilson Godoy A FilhoEdy S BritoKirley Marques CanutoCláudia do Ó PessoaGuilherme Julião ZocoloPublished in: Chemistry & biodiversity (2024)
Cancer remains a significant global health concern, with mortality rates steadily rising and prompting an urgent search for effective treatments. This study focuses on the medicinal properties of plants from the Phyllanthus genus, specifically Phyllanthus amarus and Phyllanthus niruri, which have shown promise in traditional medicine. Through bioguided fractionation using preparative high-performance liquid chromatography (HPLC), bioactive compounds were isolated and identified using ultra-performance liquid chromatography coupled to time-of-flight mass spectrometry (UHPLC-QTOF-MS E ) and nuclear magnetic resonance (NMR) spectroscopy. Chemometric analyses such as principal component analysis (PCA) aided in understanding metabolite distribution. Biological assays demonstrated cytotoxic activities of specific fractions against cancer cell lines, notably the PhyN 4n fraction from P. niruri, which induced S-phase cell cycle arrest and apoptosis in HL60 cells. These findings underscore the anticancer potential of Phyllanthus species and lay the groundwork for future drug development efforts. The study's integration of advanced analytical techniques, chemometrics, and biological assays provides valuable insights for harnessing natural products in the fight against cancer.
Keyphrases
- cell cycle arrest
- ms ms
- high performance liquid chromatography
- papillary thyroid
- mass spectrometry
- tandem mass spectrometry
- cell death
- simultaneous determination
- liquid chromatography
- magnetic resonance
- pi k akt
- global health
- squamous cell
- solid phase extraction
- induced apoptosis
- ultra high performance liquid chromatography
- endoplasmic reticulum stress
- high throughput
- high resolution
- multiple sclerosis
- public health
- oxidative stress
- type diabetes
- signaling pathway
- big data
- magnetic resonance imaging
- cardiovascular events
- squamous cell carcinoma
- cardiovascular disease
- computed tomography
- deep learning
- risk factors
- endothelial cells